Papers by Ayato Toyokuni

1 papers
Computationally Efficient Wasserstein Loss for Structured Labels (2021.eacl-srw)

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Challenge: Existing approaches to estimate the probability distribution of labels are based on tree-Wasserstein distance.
Approach: They propose a tree-Wasserstein distance regularized LDL algorithm for hierarchical text classification tasks.
Outcome: The proposed method performs well on synthetic and real-world datasets and compares favorably with the Sinkhorn algorithm in terms of computation time and memory usage.

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